Discovery Phase
Each business is unique, which is why we don't believe in a one-size-fits-all approach. While we rely on proven methodologies, our Discovery Phase is fully adaptable. We tailor the scope and focus of our analysis, including the specific stakeholders we interview and the depth of data analysis, to ensure the final roadmap directly addresses your business's specific strategic goals and data landscape.
Process and Methodology
PHASE I
Strategic Alignment and Current State Analysis
Stakeholder workshop
Conduct interviews and workshops with executive leadership, business unit heads, and IT leadership to define global strategic objectives and success metrics for the next 3-5 years.
Data audit and inventory
Document all major data assets, including source systems, data volume, quality, current usage and untapped data sources.
Business process and capability mapping
Map the key business functions (e.g., loan origination, risk modeling, farmer outreach) to the current technology and data systems that support them.
Current state documentation
Gather existing documentation and define the "As-Is" architecture and data flow, highlighting technical debt, fragmentation, and current pain points related to data access and utilization.
Deliverable Examples
Strategic goals and KPI matrix
Data gap report
Process maps
Business capability model
System and data maps
PHASE 2
Defining the Future State
Use case prioritization
Facilitate ideation sessions to define high-value use cases centered on exploiting data. Use a scoring model (value vs. feasibility) to prioritize.
Data governance framework
Outline high-level principles for data governance and stewardship that must be implemented to ensure data quality, compliance, and trustworthiness across the corporation.
Target state definition
Define the conceptual "To-Be" architecture required to support the prioritized data use cases.
Phasing and dependency analysis
Group the required initiatives (technology, process, people) into logical phases based on dependencies and quick wins (e.g., establishing the data foundation first).